Estimation of Femur Length From Its Fragments in an Iranian Population
Stature is one of the important variables to identify an individual, and the previous reports show that intact femur has the highest correlation with stature. But the femur is usually damaged in forensic cases. Hence in the present study, the femur length is estimated from proximal and distal femor...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2022-03-01
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| Series: | Acta Medica Iranica |
| Subjects: | |
| Online Access: | https://acta.tums.ac.ir/index.php/acta/article/view/9878 |
| _version_ | 1828914181567414272 |
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| author | Soheila Madadi Alireza Farsi Parvindokht Bayat |
| author_facet | Soheila Madadi Alireza Farsi Parvindokht Bayat |
| author_sort | Soheila Madadi |
| collection | DOAJ |
| description |
Stature is one of the important variables to identify an individual, and the previous reports show that intact femur has the highest correlation with stature. But the femur is usually damaged in forensic cases. Hence in the present study, the femur length is estimated from proximal and distal femoral fragments in the Iranian population. Sixty-four dry femora (32 from each side) without sex determination were studied. The variables were measured by using the osteometric board and digital vernier caliper. The bones with visible abnormalities were excluded from the study. The measured values were analyzed by SPSS 25 software. The linear regression is used for estimating maximum femur length from the other measurements of femoral fragments. The result of this study showed that the value of segmental measurements was different between the right and left sides, but it was not statistically significant. All segmental measurements were positively correlated and found to have a linear relationship with the maximum femoral length (P<0.05) except for femoral neck circumference, which was not significantly different. The regression equation suggested that the intertrochanteric crest length is the best estimator of maximum femur length. The data of this study showed that the femoral length could be estimated from proximal and distal femoral fragments with the help of a regression equation. Then femoral length can be used to estimate the stature. The result of this study can be used in the analysis of forensic bone remains.
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| first_indexed | 2024-12-13T19:50:52Z |
| format | Article |
| id | doaj.art-af81735a31fe48388fac515639eb0a73 |
| institution | Directory Open Access Journal |
| issn | 0044-6025 1735-9694 |
| language | English |
| last_indexed | 2024-12-13T19:50:52Z |
| publishDate | 2022-03-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Acta Medica Iranica |
| spelling | doaj.art-af81735a31fe48388fac515639eb0a732022-12-21T23:33:26ZengTehran University of Medical SciencesActa Medica Iranica0044-60251735-96942022-03-0160310.18502/acta.v60i3.9006Estimation of Femur Length From Its Fragments in an Iranian PopulationSoheila Madadi0Alireza Farsi1Parvindokht Bayat2Department of Anatomy, School of Medicine, Arak University of Medical Sciences, Arak, IranStudents Research Committee, Arak University of Medical Sciences, Arak, IranDepartment of Anatomy, School of Medicine, Arak University of Medical Sciences, Arak, Iran Stature is one of the important variables to identify an individual, and the previous reports show that intact femur has the highest correlation with stature. But the femur is usually damaged in forensic cases. Hence in the present study, the femur length is estimated from proximal and distal femoral fragments in the Iranian population. Sixty-four dry femora (32 from each side) without sex determination were studied. The variables were measured by using the osteometric board and digital vernier caliper. The bones with visible abnormalities were excluded from the study. The measured values were analyzed by SPSS 25 software. The linear regression is used for estimating maximum femur length from the other measurements of femoral fragments. The result of this study showed that the value of segmental measurements was different between the right and left sides, but it was not statistically significant. All segmental measurements were positively correlated and found to have a linear relationship with the maximum femoral length (P<0.05) except for femoral neck circumference, which was not significantly different. The regression equation suggested that the intertrochanteric crest length is the best estimator of maximum femur length. The data of this study showed that the femoral length could be estimated from proximal and distal femoral fragments with the help of a regression equation. Then femoral length can be used to estimate the stature. The result of this study can be used in the analysis of forensic bone remains. https://acta.tums.ac.ir/index.php/acta/article/view/9878Maximum femur lengthFemoral fragmentsIntertrochanteric crest lengthRegression equation |
| spellingShingle | Soheila Madadi Alireza Farsi Parvindokht Bayat Estimation of Femur Length From Its Fragments in an Iranian Population Acta Medica Iranica Maximum femur length Femoral fragments Intertrochanteric crest length Regression equation |
| title | Estimation of Femur Length From Its Fragments in an Iranian Population |
| title_full | Estimation of Femur Length From Its Fragments in an Iranian Population |
| title_fullStr | Estimation of Femur Length From Its Fragments in an Iranian Population |
| title_full_unstemmed | Estimation of Femur Length From Its Fragments in an Iranian Population |
| title_short | Estimation of Femur Length From Its Fragments in an Iranian Population |
| title_sort | estimation of femur length from its fragments in an iranian population |
| topic | Maximum femur length Femoral fragments Intertrochanteric crest length Regression equation |
| url | https://acta.tums.ac.ir/index.php/acta/article/view/9878 |
| work_keys_str_mv | AT soheilamadadi estimationoffemurlengthfromitsfragmentsinaniranianpopulation AT alirezafarsi estimationoffemurlengthfromitsfragmentsinaniranianpopulation AT parvindokhtbayat estimationoffemurlengthfromitsfragmentsinaniranianpopulation |